Categoría: AI

Kubeflow operators: lifecycle management for data science

Canonical, the publisher of Ubuntu, releases Charmed Kubeflow, a set of charm operators to deliver the 20+ applications that make up the latest version of Kubeflow, for easy consumption anywhere, from workstations to on-prem, public cloud, and edge. > Visit Charmed-kubeflow.io to learn more. Kubeflow, the ML toolkit on K8s Kubeflow provides the cloud-native interface […]

HP Z series on Ubuntu – AI development on enterprise workstations, now in your remote office

Today, HP announced the launch of its Z series of laptops and workstations certified with Ubuntu 20.04 LTS, the latest additions to their popular professional workstation line. Made to drive AI and machine learning and with hardware that is also suited to 3D and virtual reality development, the Z series is an ideal enterprise workstation […]

Building Kubeflow pipelines: Data science workflows on Kubernetes – Part 2

This blog series is part of the joint collaboration between Canonical and Manceps. Visit our AI consulting and delivery services page to know more. Introduction Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is a part of the Kubeflow project that aims to reduce the complexity and time involved […]

Data science workflows on Kubernetes with Kubeflow pipelines: Part 2

This blog series is part of the joint collaboration between Canonical and Manceps. Visit our AI consulting and delivery services page to know more. Introduction Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is a part of the Kubeflow project that aims to reduce the complexity and time involved […]

Demystifying Kubeflow pipelines: Data science workflows on Kubernetes – Part 1

Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is one part of a larger Kubeflow ecosystem that aims to reduce the complexity and time involved with training and deploying machine learning models at scale. In this blog series, we demystify Kubeflow pipelines and showcase this method to produce reusable […]

Data science workflows on Kubernetes with Kubeflow pipelines: Part 1

Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is one part of a larger Kubeflow ecosystem that aims to reduce the complexity and time involved with training and deploying machine learning models at scale. In this blog series, we demystify Kubeflow pipelines and showcase this method to produce reusable […]

Data science workflows on Kubernetes with Kubeflow pipelines: Part 1

Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is one part of a larger Kubeflow ecosystem that aims to reduce the complexity and time involved with training and deploying machine learning models at scale. In this blog series, we demystify Kubeflow pipelines and showcase this method to produce reusable […]